| Home > Publications database > 3D atomic structure determination with ultrashort-pulse MeV electron diffraction |
| Typ | Amount | VAT | Currency | Share | Status | Cost centre |
| APC | 2540.00 | 0.00 | USD | 100.00 % | (Zahlung erfolgt) | 810 / 476151 |
| Sum | 2540.00 | 0.00 | (see parts above) | |||
| Total | 2540.00 |
| Journal Article | PUBDB-2026-00937 |
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2026
[Verlag nicht ermittelbar]
Chester
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Please use a persistent id in citations: doi:10.1107/S2052252526002782 doi:10.3204/PUBDB-2026-00937
Abstract: Understanding structure at the atomic scale is fundamental for understanding the functioning and the development of materials with improved properties. Compared to other probes providing atomic resolution, electrons offer the strongest interaction in combination with minimal radiation damage, which makes them an ideal tool for investigating very small and radiation-sensitive samples (Henderson, 1995). However, these benefits are often offset by the laborious preparation of nanometre-sized samples that are not visible under the light microscope, and the fact that experiments are largely restricted to ultra-high vacuum (Duyvesteyn et al., 2018; Gruene et al., 2021). Here, we report the successful implementation of MeV electron diffraction for ab initio 3D structure determination of the quasi 2D material muscovite and the quantum material 1T-TaS₂ at atomic resolution. By employing ultrashort electron pulses from the REGAE accelerator, we obtained high-quality diffraction datasets suitable for structural refinements based on dynamical scattering theory, enabling precise localization of even hydrogen atoms. The increased penetration depth of MeV electrons significantly expands the applicable thickness range of samples, overcoming previous restrictions associated with traditional electron diffraction. These findings establish MeV electron diffraction as a viable approach for investigating a broad range of materials, including nanostructures and radiation-sensitive compounds, and open up new opportunities for in-situ and time-resolved experiments (Chao et al., 2023; Filippetto et al., 2022).
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